JadenTravnik's repositories
reduce_reuse_recycle
Code for Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC
FXMeshGenerator
FX Mesh Generator #UE5
dalle-mini
DALL·E Mini - Generate images from a text prompt
CodeGen
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
nerfies
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
MultiplayerFPS-Tutorial
A video series on making a multiplayer first-person shooter in Unity.
Multiplayer-FPS
:video_game: A multiplayer first person shooter game based on Unity Game Engine
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
proto
Proto-RL: Reinforcement Learning with Prototypical Representations
MeInGame
MeInGame: Create a Game Character Face from a Single Portrait, AAAI 2021
gym-miniworld
Simple 3D interior simulator for RL & robotics research
KanervaCoding
An opensource implementation of kanerva coding for use in reinforcement learning research
tgn
TGN: Temporal Graph Networks
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
neutralinojs
Portable and lightweight cross platform application development framework
python-flask-docker
Basic Python Flask app in Docker which prints the hostname and IP of the container
trl
Train transformer language models with reinforcement learning.
tensorflow-ue4
TensorFlow plugin for Unreal Engine 4
Finger-Detection-and-Tracking
Finger Detection and Tracking using OpenCV and Python
opencv
Open Source Computer Vision Library
github-issue-templates
:symbols: A collection of GitHub issue and pull request templates
demo2program
An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim