eracah

atlas_dl

Deep Learning for Atlas

car-nav

A simple car navigation environment with a gym wrapper

climate-dl

Unsupervised and Semisupervised Learning Approaches to High Dimensional Climate Simulations

h5spark

Supporting Hierarchical Data Format and Rich Parallel I/O Interface in Spark

hur-detect

Deep Semi-Supervised Object Detection for Extreme Weather Events

nersc-spark-benchmarks

Benchmark codes and submit scripts for Spark to run on NERSC systems

slot-contrastive-networks

Code for the workshop paper, "Slot Contrastive Networks: A Contrastive Approach for Representing Objects" presented at the ICML 2020 Object-Oriented Learning Workshop

supervise-thyself

Code for the ICML Self-Supervised Workshop paper: Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments

world-models

A PyTorch implementation of "World Models"

atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

eracah/hur-detect

Deep Semi-Supervised Object Detection for Extreme Weather Events

eracah/atlas_dl

Deep Learning for Atlas

eracah/slot-contrastive-networks

Code for the workshop paper, "Slot Contrastive Networks: A Contrastive Approach for Representing Objects" presented at the ICML 2020 Object-Oriented Learning Workshop

eracah/supervise-thyself

Code for the ICML Self-Supervised Workshop paper: Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments

eracah/world-models

A PyTorch implementation of "World Models"

eracah/car-nav

A simple car navigation environment with a gym wrapper

eracah/atari-representation-learning

Code for "Unsupervised State Representation Learning in Atari"

eracah/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

eracah/caffe

Caffe: a fast open framework for deep learning.

eracah/capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

eracah/client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

eracah/composer-test-ckpts

Test Checkpoints for use in backwards compatibility tests

eracah/ddp-resume-mosaic

Testing MosaicML Composer (v0.9.0) ddp resume training functionality

eracah/eracah.github.io

My website, dood

eracah/evan-composer

Train neural networks up to 7x faster

eracah/evan-examples

Fast and flexible reference benchmarks

eracah/evan-megablocks

eracah/evan-streaming

A Data Streaming Library for Efficient Neural Network Training

eracah/faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

eracah/ff-opt

Computing the Optimal Fantasy Lineup in Auction Drafts using 0-1 Integer Linear Programming

eracah/gym

A toolkit for developing and comparing reinforcement learning algorithms.

eracah/hello-world

My first GitHub Pages Repository

eracah/ic-dl

eracah/Imagination-Augmented-Agents

Building Agents with Imagination: pytorch step-by-step implementation

eracah/llm-foundry

LLM training code for MosaicML foundation models

eracah/PyGame-Learning-Environment

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

eracah/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

eracah/pytorch-tutorials

My Notebooks (and theirs) for the PyTorch tutorials

eracah/pytorch-vqvae

eracah/tf-examples