Projectlearn Project Based Learning
Xtremilicious
A curated list of project tutorials for project-based learning.
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Results: 13
Xtremilicious
A curated list of project tutorials for project-based learning.
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
apple
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
Lightning-AI
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
shap
A game theoretic approach to explain the output of any machine learning model.
RasaHQ
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbo…
k4yt3x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
roboflow
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
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