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tensorpro's Projects

a3c-pytorch icon a3c-pytorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

coderl icon coderl

This is a fork of code for the paper CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning (NeurIPS22) specific to running on TPUs

conv2 icon conv2

Library for converting deep learning models between frameworks.

dao-lib icon dao-lib

A library for making DAOs in solidity.

darkflow icon darkflow

Fork of thtieu/darkflow with better packaging

doom-mapping icon doom-mapping

old research project using 2d maps to augment a Doom RL agent's state space

exppy icon exppy

A library to help keep track of results and models from machine learning experiments.

finetuning icon finetuning

Experiments in fine tuning with different optimizer.

large-code-models icon large-code-models

TRC sponsored research investigating RL agents that model programming constructs (IE ASTs) more directly.

mdnet icon mdnet

Multi-Domain Convolutional Neural Network Tracker

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

pytorch-a3c icon pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

rwkv-lm icon rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

rwkvstic icon rwkvstic

Framework agnostic python runtime for RWKV models, forking to try running on TPU

seqax icon seqax

seqax = sequence modeling + JAX

ssd icon ssd

Single Shot MultiBox Detector in TensorFlow

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