Pinned Repositories
android
Misc Android stuff
android_device_bn_encore
android_hardware_ti_omap3
android_kernel_omap
CompVis-StableDiffusion-Gui
Simple GUI for https://github.com/CompVis/stable-diffusion.
CoroutineAsyncTask
Aims to provide (1) Kotlin coroutines and (2) RxJava classes as drop-in replacements for Android's deprecated AsyncTask.
floreantpos
A free open-source point-of-sale application for restaurants (and potentially more) UPDATED FROM SVN SOURCE -> 7-3-22 (the rest is up to you...)
hippos
An open-source web app viewer
nook_kernel
kernel patches/configs for kernel.
resolve
Container scripts to build and run DaVinci Resolve [Studio] for Linux using Docker or Podman
fat-tire's Repositories
fat-tire/resolve
Container scripts to build and run DaVinci Resolve [Studio] for Linux using Docker or Podman
fat-tire/floreantpos
A free open-source point-of-sale application for restaurants (and potentially more) UPDATED FROM SVN SOURCE -> 7-3-22 (the rest is up to you...)
fat-tire/nethunter-app
NetHunter android application
fat-tire/fat-tire.github.io
My user page at https://fat-tire.github.io
fat-tire/hippos
An open-source web app viewer
fat-tire/SongSpleeterColab
A click-through helper colaboratory page for @Deezer's Spleeter
fat-tire/android-1
cSploit - The most complete and advanced IT security professional toolkit on Android.
fat-tire/android_device_samsung_trltetmo
fat-tire/CompVis-StableDiffusion-Gui
Simple GUI for https://github.com/CompVis/stable-diffusion.
fat-tire/haven
Haven is for people who need a way to protect their personal spaces and possessions without compromising their own privacy, through an Android app and on-device sensors
fat-tire/InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
fat-tire/CoroutineAsyncTask
Aims to provide (1) Kotlin coroutines and (2) RxJava classes as drop-in replacements for Android's deprecated AsyncTask.
fat-tire/Assemblies-of-putative-SARS-CoV2-spike-encoding-mRNA-sequences-for-vaccines-BNT-162b2-and-mRNA-1273
RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vaccines for COVID-19, these synthetic mRNAs have become broadly distributed RNA species in numerous human populations. Despite their ubiquity, sequences are not always available for such RNAs. Standard methods facilitate such sequencing. In this note, we provide experimental sequence information for the RNA components of the initial Moderna (https://pubmed.ncbi.nlm.nih.gov/32756549/) and Pfizer/BioNTech (https://pubmed.ncbi.nlm.nih.gov/33301246/) COVID-19 vaccines, allowing a working assembly of the former and a confirmation of previously reported sequence information for the latter RNA. Sharing of sequence information for broadly used therapeutics has the benefit of allowing any researchers or clinicians using sequencing approaches to rapidly identify such sequences as therapeutic-derived rather than host or infectious in origin. For this work, RNAs were obtained as discards from the small portions of vaccine doses that remained in vials after immunization; such portions would have been required to be otherwise discarded and were analyzed under FDA authorization for research use. To obtain the small amounts of RNA needed for characterization, vaccine remnants were phenol-chloroform extracted using TRIzol Reagent (Invitrogen), with intactness assessed by Agilent 2100 Bioanalyzer before and after extraction. Although our analysis mainly focused on RNAs obtained as soon as possible following discard, we also analyzed samples which had been refrigerated (~4 ℃) for up to 42 days with and without the addition of EDTA. Interestingly a substantial fraction of the RNA remained intact in these preparations. We note that the formulation of the vaccines includes numerous key chemical components which are quite possibly unstable under these conditions-- so these data certainly do not suggest that the vaccine as a biological agent is stable. But it is of interest that chemical stability of RNA itself is not sufficient to preclude eventual development of vaccines with a much less involved cold-chain storage and transportation. For further analysis, the initial RNAs were fragmented by heating to 94℃, primed with a random hexamer-tailed adaptor, amplified through a template-switch protocol (Takara SMARTerer Stranded RNA-seq kit), and sequenced using a MiSeq instrument (Illumina) with paired end 78-per end sequencing. As a reference material in specific assays, we included RNA of known concentration and sequence (from bacteriophage MS2). From these data, we obtained partial information on strandedness and a set of segments that could be used for assembly. This was particularly useful for the Moderna vaccine, for which the original vaccine RNA sequence was not available at the time our study was carried out. Contigs encoding full-length spikes were assembled from the Moderna and Pfizer datasets. The Pfizer/BioNTech data [Figure 1] verified the reported sequence for that vaccine (https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/), while the Moderna sequence [Figure 2] could not be checked against a published reference. RNA preparations lacking dsRNA are desirable in generating vaccine formulations as these will minimize an otherwise dramatic biological (and nonspecific) response that vertebrates have to double stranded character in RNA (https://www.nature.com/articles/nrd.2017.243). In the sequence data that we analyzed, we found that the vast majority of reads were from the expected sense strand. In addition, the minority of antisense reads appeared different from sense reads in lacking the characteristic extensions expected from the template switching protocol. Examining only the reads with an evident template switch (as an indicator for strand-of-origin), we observed that both vaccines overwhelmingly yielded sense reads (>99.99%). Independent sequencing assays and other experimental measurements are ongoing and will be needed to determine whether this template-switched sense read fraction in the SmarterSeq protocol indeed represents the actual dsRNA content in the original material. This work provides an initial assessment of two RNAs that are now a part of the human ecosystem and that are likely to appear in numerous other high throughput RNA-seq studies in which a fraction of the individuals may have previously been vaccinated. ProtoAcknowledgements: Thanks to our colleagues for help and suggestions (Nimit Jain, Emily Greenwald, Lamia Wahba, William Wang, Amisha Kumar, Sameer Sundrani, David Lipman, Bijoyita Roy). Figure 1: Spike-encoding contig assembled from BioNTech/Pfizer BNT-162b2 vaccine. Although the full coding region is included, the nature of the methodology used for sequencing and assembly is such that the assembled contig could lack some sequence from the ends of the RNA. Within the assembled sequence, this hypothetical sequence shows a perfect match to the corresponding sequence from documents available online derived from manufacturer communications with the World Health Organization [as reported by https://berthub.eu/articles/posts/reverse-engineering-source-code-of-the-biontech-pfizer-vaccine/]. The 5’ end for the assembly matches the start site noted in these documents, while the read-based assembly lacks an interrupted polyA tail (A30(GCATATGACT)A70) that is expected to be present in the mRNA.
fat-tire/connectbot
ConnectBot is the first SSH client for Android.
fat-tire/CursorRecyclerAdapter
Library containing an adapter that exposes data from a Cursor to a RecyclerView widget.
fat-tire/Deep-Video-Deinterlacing
fat-tire/faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
fat-tire/foremost
Foremost is a console program to recover files based on their headers, footers, and internal data structures. This process is commonly referred to as data carving. Foremost can work on image files, such as those generated by dd, Safeback, Encase, etc, or directly on a drive. The headers and footers can be specified by a configuration file or you can use command line switches to specify built-in file types. These built-in types look at the data structures of a given file format allowing for a more reliable and faster recovery. Originally developed by the United States Air Force Office of Special Investigations and The Center for Information Systems Security Studies and Research , foremost has been opened to the general public. We welcome any comments, suggestions, patches, or feedback you have on this program. Please direct all correspondence to namikus@users.sf.net.
fat-tire/home-assistant_blueprints
blueprints collection for home-assistant
fat-tire/investigations
Indicators from Amnesty International's investigations
fat-tire/k-9
K-9 Mail – Advanced Email for Android 📧
fat-tire/llama.cpp
LLM inference in C/C++
fat-tire/NeuralNeighborStyleTransfer
Optimization based style transfer
fat-tire/rsync-time-machine.py
Time Machine-style backups using rsync
fat-tire/ShakeAlertLA-Colworx-ATT
fat-tire/Signal-Android
A private messenger for Android.
fat-tire/signal-cli-android
signal-cli (formerly textsecure-cli) provides a commandline and dbus interface for WhisperSystems/libsignal-service-java
fat-tire/terminator
fork of terminator with bzr2git sync capabilities
fat-tire/tesla-api-client
Tesla API docs and Java client
fat-tire/testing
Heya @erzorz! :)