agemor's Stars
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
source-foundry/Hack
A typeface designed for source code
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
alibaba/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
NVIDIA/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
gfx-rs/gfx
[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.
arrayfire/arrayfire
ArrayFire: a general purpose GPU library.
rust-ndarray/ndarray
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
handong1587/handong1587.github.io
remzi-arpacidusseau/ostep-translations
Various translations of OSTEP can be found here. Help the cause and contribute!
facebookresearch/SparseConvNet
Submanifold sparse convolutional networks
tensor-compiler/taco
The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
AtheMathmo/rusty-machine
Machine Learning library for Rust
openai/blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
jts/nanopolish
Signal-level algorithms for MinION data
raskr/rust-autograd
Tensors and differentiable operations (like TensorFlow) in Rust
antao97/PointCloudDatasets
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
nanopore-wgs-consortium/NA12878
Data and analysis for NA12878 genome on nanopore
xumengwei/Edge-AI-Paper-List
AdityaMulgundkar/flutter_opencv
Flutter plug-in providing (a few) basic bindings to OpenCV-4.x. OpenCV methods implemented without the Core packages. WIP.
bioinfomaticsCSU/deepsignal
Detecting methylation using signal-level features from Nanopore sequencing reads
MehmetAygun/fusenet-pytorch
shrimai/Topological-Sort-for-Sentence-Ordering
jsulam/Online-Dictionary-Learning-demo
legendongary/pytorch-gram-schmidt
Gram-Schmidt orthogonalization pytorch implementation.