tomchen1000

tomchen1000's Stars

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python23.3k5132.5k5.4k

• RangiLyu/nanodet

  NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

  Language:Python5.7k684621k

• ifzhang/FairMOT

  [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

  Language:Python4k84526934

• PINTO0309/PINTO_model_zoo

  A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

  Language:Python3.6k114338572

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k8992681

• oxwhirl/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1.9k29130384

• asg017/sqlite-vss

  A SQLite extension for efficient vector search, based on Faiss!

  Language:C++1.7k239962

• rail-berkeley/softlearning

  Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

  Language:Python1.2k37103242

• deepdrive/deepdrive

  Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

  Language:Python8946164148

• joschu/modular_rl

  Implementation of TRPO and related algorithms

  Language:Python6223622156

• ServiceNow/N-BEATS

  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

  Language:Python5152114116

• Atcold/pytorch-PPUU

  Code for Prediction and Planning Under Uncertainty (PPUU)

  Language:Jupyter Notebook202253154

• depthfirstlearning/depthfirstlearning.com

  Language:TeX195211929

• keitakurita/practical-torchtext

  A set of tutorials for torchtext

  Language:Jupyter Notebook1868955

• deepdrive/deepdrive-sim

  Deepdrive Unreal project and Python bindings

  Language:C++144302242

• flyyufelix/C51-DDQN-Keras

  C51-DDQN in Keras

  Language:Python12511730

• jsikyoon/pathnet

  Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

  Language:Python10261024

• oxwhirl/treeqn

  Language:Python9011218

• ml3705454/mapr2

  Language:Python431114

• chao1224/GeoSSL

  GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)

  Language:Python41201

• lstruski/Processing-of-missing-data-by-neural-networks

  Language:Python410112

• danebulat/cmake-compiler-flags

  The companion repository for the CMake: How to Inspect and Configure the Compiler tutorial.

  Language:C++8102

• DanielDubinsky/snpe_docker

  Dockerfile to run Snapdragon Neural Processing Engine

  Language:Dockerfile4101

• edweenie123/3D-Chess

  A complete interactive game of the Raumschach variant of 3D-Chess.

  Language:C++2201

• edweenie123/competitive-programming-solutions

  Most of the competitive programming problems I've solved.

  Language:C++2

• edweenie123/Self-Driving-Neuroevolution

  A simple neuroevolution environment in which agents learn to drive around any track through a genetic algorithm.

  Language:C#21

• Jincheng-Sun/NetDeviceAbnormalDetection

  Language:Jupyter Notebook2200

• occhcttc/occhcttc.github.io

  Language:HTML2200

• CSC207-2022F-UofT/course-project-wasted-potential

  course-project-wasted-potential created by GitHub Classroom

  Language:Java13131

• edweenie123/anime-recommender

  An autoencoder based recommender system for generating anime recommendations

  Language:Jupyter Notebook10