Clean, minimal, accessible reproduction of DeepSeek R1-Zero

Controllable and fast Text-to-Speech for over 7000 languages!

Agent Zero AI framework

Nearly a thousand bash and python scripts I've written over the years.

Inference code for Persimmon-8B

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

aider is AI pair programming in your terminal

Specify what you want it to build, the AI asks for clarification, and then builds it.

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Highly comparative time-series analysis

Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

Tutorials. Please star.

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

This project contains ORSVM package which is a python package to SVM based on orthogonal kernel functions

Hyperbolic SVM in Python

Forex Prediction using Lstm

In this project, I explore various machine learning techniques including Principal Component Analysis (PCA), Support Vector Machines (SVM), Artificial Neural Networks (ANN), and Sentiment Analysis …

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Transform Python source code into its most compact representation

Overview and tutorial of the LangChain Library

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

my E-books collection

Python package for scraping recipes data

A suite for blackbox variational inference using families of posterior approximations parameterised via learnable weighted summarising (pseudo)data.

A suite for blackbox variational inference using families of posterior approximations parameterised via learnable weighted summarising (pseudo)data.