autonomous ai agents for trading in python

An transformer based LLM. Written completely in Rust

The Open Source Memory Layer For Autonomous Agents

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

II-Agent: a new open-source framework to build and deploy intelligent agents

Hierarchical Reasoning Model Official Release

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Language model fine-tuning on NER with an easy interface and cross-domain evaluation. "T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition, EACL 2021"

Official inference framework for 1-bit LLMs

Exploring Applications of GRPO

multiple llm bots taking to each other

FSQD: Fine-grained Question Subjectivity Dataset

The full minitorch student suite.

LLM101n: Let's build a Storyteller

Anthropic's educational courses

Documentation behind the model used to analyse companies in Simply Wall St

21 Lessons, Get Started Building with Generative AI

A system for quickly generating training data with weak supervision

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning

Open Drug Metabolism & PharmacoKinetics (OpenDMPK) is an open source data resource and toolkit for predicting drug metabolism and pharmacokinetic properties of drug molecules.

Deep neural network for the alignment of GC-MS peaks

PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Open source code for AlphaFold 2.

The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of dr…

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

WTTE-RNN a framework for churn and time to event prediction