chengruizhe's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
conwnet/github1s
One second to read GitHub code with VS Code.
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.
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
catchorg/Catch2
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
mlfoundations/open_clip
An open source implementation of CLIP.
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
facebookresearch/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
StockSharp/StockSharp
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
yuesong-feng/30dayMakeCppServer
30天自制C++服务器,包含教程和源代码
pixie-io/pixie
Instant Kubernetes-Native Application Observability
roytseng-tw/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
bearpaw/pytorch-classification
Classification with PyTorch.
cosmos/sdk-tutorials
Tutorials for building modules for the Cosmos SDK
google-research-datasets/conceptual-12m
Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
facebookresearch/OTTER
This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.
a1600012888/tylib
python small code for deep learning
simon-mo/trireme
Websocket based training/inference server