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adversarialnetspapers

The classical paper list with code about generative adversarial nets

alphastar_implementation

This project is implementation code of AlphaStar

automl

Google Brain AutoML

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-rl

Reinforcement learning resources curated

bayesian-methods-for-ml

My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)

benchmarking-gnns

Repository for benchmarking graph neural networks

cam-notes

My Cambridge Lecture Notes

computer_graphics_edx

dalle2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

db-gpt

Revolutionizing Database Interactions with Private LLM Technology

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepspeed-chat

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientdet-1

unofficial EffcientDet implemented by mmdetection

ga-world-models

graph_nets

Build Graph Nets in Tensorflow

homework

Assignments for CS294-112.

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

interview

📚 C/C++面试知识总结

ir2-fa2020

krr-course

learn_cfr

libsvm

mas-project

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mini-alphastar

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

neural-mmo

Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"

nlp-kickout