Onlyartist9's Stars
GreyDGL/PentestGPT
A GPT-empowered penetration testing tool
UX-Decoder/Segment-Everything-Everywhere-All-At-Once
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Eugeny/tabby
A terminal for a more modern age
gaomingqi/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
itinance/react-native-fs
Native filesystem access for react-native
svc-develop-team/so-vits-svc
SoftVC VITS Singing Voice Conversion
lucidrains/recurrent-memory-transformer-pytorch
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
opengeos/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
0hq/WebGPT
Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~1500 lines of vanilla Javascript.
suno-ai/bark
🔊 Text-Prompted Generative Audio Model
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
gigwegbe/tinyml-papers-and-projects
This is a list of interesting papers and projects about TinyML.
lxe/wasm-gpt
Tensor library for machine learning
triton-lang/triton
Development repository for the Triton language and compiler
Stability-AI/StableLM
StableLM: Stability AI Language Models
caesarHQ/textSQL
openai/openai-cookbook
Examples and guides for using the OpenAI API
karpathy/randomfun
Notebooks and various random fun
microsoft/DeepSpeedExamples
Example models using DeepSpeed
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
openai/consistency_models
Official repo for consistency models.
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
carlospolop/Auto_Wordlists
ggerganov/ggml
Tensor library for machine learning
NVlabs/prismer
The implementation of "Prismer: A Vision-Language Model with Multi-Task Experts".
facebookresearch/MCC
Multiview Compressive Coding for 3D Reconstruction
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
yoheinakajima/babyagi