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Packages the maps of Chinese cities for echarts.
π Implementation of spatio-temporal graph convolutional network with PyTorch
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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 filteβ¦
Movie Gen Bench - two media generation evaluation benchmarks released with Meta Movie Gen
Build a keynote writing agent using CrewAI and watsonx.ai.
Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
Generic rag framework to apply the power of LLMs on any given dataset
A Gradio web UI for Large Language Models.
π¦ Small exercises to get you used to reading and writing Rust code!
AI driven development in your terminal. Designed for large, real-world tasks.
Code examples and resources for DBRX, a large language model developed by Databricks
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
π Monitor deep learning model training and hardware usage from your mobile phone π±
The official PyTorch implementation of Google's Gemma models
CLI tool to easily setup a new resume π
π¦π Build context-aware reasoning applications
Implementation for paper: Causal Intervention for Weakly-Supervised Semantic Segmentation
The official Python library for the OpenAI API
This code contains the scripts for the experiments on causal inference.
Machine Learning algorithm implementations from scratch.
Deep Learning for Post-Processing Ensemble Weather Forecasts
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.