Kevin Lee Stone's repositories
lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
python-checkpointing2
Checkpoint the state of Python programs using Pythonic setjmp and longjmp
rita
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
CompilerGym
Reinforcement learning environments for compiler and program optimization tasks
gotiny
gotiny golang serialization
dreamerv2
Mastering Atari with Discrete World Models
GUDRL
Generalised UDRL
go-jsonstruct
Generate Go structs from multiple JSON objects.
TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
go-dpi
Application layer protocol identification of traffic flows
rl_games
RL implementations
pyrender
Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
neat
[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving
mesh-fusion
Python tool for obtaining watertight meshes using TSDF fusion.
vgn
Real-time 6 DOF grasp detection in clutter.
contact_graspnet
Efficient 6-DoF Grasp Generation in Cluttered Scenes
modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
6dof-graspnet
Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.
acronym
This repository contains a sample of the grasping dataset and tools to visualize grasps, generate random scenes, and render observations. The two sample files are in the HDF5 format.
com.unity.perception
Perception toolkit for sim2real training and validation
Learning-from-Synthetic-Animals
Learning from Synthetic Animals (CVPR2020, oral)
fritz-models
Train and deploy machine learning models for mobile apps with Fritz AI.
tensorflow
An Open Source Machine Learning Framework for Everyone
PRNet
The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
enas
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"