code for reading and processing Allen Institute for Brain Science data

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Your self-hosted, globally interconnected microblogging community

🔥 🔥 🔥 Open Source Airtable Alternative

Next generation of automated data exploratory analysis and visualization platform.

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.

We write your reusable computer vision tools. 💜

Your new Mentor for Data Science E-Learning.

All Algorithms implemented in Python

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Inference code for Llama models

Natural Language Processing Tutorial for Deep Learning Researchers

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

100-Days-Of-ML-Code中文版

Visualizer for neural network, deep learning and machine learning models

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

An open source library for deep learning end-to-end dialog systems and chatbots.

An open source VR headset with SteamVR supports for $200

The official Meta Llama 3 GitHub site

AI wearable necklace

Implementation of CNN to recognize hand written digits (MNIST) running for 10 epochs. Accuracy: 98.99%

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Movie Reccomendation system using Cosine similarity

Recommendation system for the Movielens data set implemented with the help of collaborative filtering and matrix factorization using py2neo library in Python.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Sentiment analysis using machine learning techniques.

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Predicting house prices using Linear Regression and GBR

Interact with your documents using the power of GPT, 100% privately, no data leaks