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agent-gpt

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

argilla

✨ Argilla: Open-source platform empowering teams to build better language models through human feedback

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bagel

A bagel, with everything.

bashtools

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

beta-tcvae_v1

Playing around with beta-tcvae implementation - WORK IN PROGRESS

beta_tcvae_v1

Playing around with Beta-TCVAE implementation

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

characteranalysis

Deriving Relationships Between Characters In Books

composer

Train neural networks up to 7x faster

contrastive-classification-keras

Implementation of self-supervised image-level contrastive pretraining methods using Keras.

conv-activations

PyTorch Implementation of several convolutional network models with custom activation functions and automated testing of multiple models.

cookbook

cyclical-learning-activations-pytorch

Pytorch implementation of cyclical learning rates, along with custom activation functions, and easy testing and logging of multiple models.

cython_home

Random Cython Utilities

daje

distributed

A distributed task scheduler for Dask

docs

Easily show documentation to Cursor's coding AI

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dsp

Data Science Bootcamp - prework

dspy

DSPy: The framework for programming—not prompting—foundation models

dtools

fastai

The fastai deep learning library

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

fixie-examples

Examples of how to use the Fixie AI platform.

fixie-sdk

Open source SDK to the Fixie platform.

flask

The Python micro framework for building web applications.

generate-continous-data-using-rnn-tensorflow

Updated model from previous repository about Generate Text using RNN. This model way more faster and be able to train the data less than 5 mins!