Inference Llama 2 in one file of pure C

Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting

A playbook for systematically maximizing the performance of deep learning models.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

A massively parallel, optimal functional runtime in Rust

RNA vaccines have become a key tool in moving forward through the challenges raised both in the current pandemic and in numerous other public health and medical challenges. With the rollout of vacc…

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

A toolkit for developing and comparing reinforcement learning algorithms.

Simple and easily configurable grid world environments for reinforcement learning

A toolkit for reproducible reinforcement learning research.

Database of optical constants

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Deep Q-Learning for Market Making

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

An Open Source Machine Learning Framework for Everyone

An API for working with flying objects, simulated, unidentified, and otherwise.

The Fixed Wing project for the Flying Car Nanodegree

Solidity, the Smart Contract Programming Language

FlyingCarND Controls Project (P2)

Motion planning project (P1)

C++ project for the FCND estimation.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…