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☑️ IBM Free course: Python Basics for Data Science

Course Link: https://www.edx.org/learn/python/ibm-python-basics-for-data-science

⭐️ https://news.1rj.ru/str/CodeProgrammer

🦅 Jury: A Comprehensive Evaluation Toolkit

pip install jury

🖥 Github: https://github.com/obss/jury

📕 Paper: https://arxiv.org/abs/2310.02040v1

🖥 Colab: https://colab.research.google.com/github/obss/jury/blob/main/examples/jury_evaluate.ipynb

⭐️ Demos: https://github.com/Parskatt/DeDoDe/blob/main/demo

https://news.1rj.ru/str/DataScienceT

⚡️ Memory Gym: Partially Observable Challenges to Memory-Based Agents in Endless Episodes

🖥 Github: https://github.com/marcometer/endless-memory-gym

🖥 Colab: https://colab.research.google.com/drive/1LjlUOEer8vjGrz0rLM8pP5UyeNCsURkY?usp=sharing

📕 Paper: https://openreview.net/forum?id=jHc8dCx6DDr

⭐️ Dataset: https://paperswithcode.com/dataset/arcade-learning-environment

https://news.1rj.ru/str/DataScienceT

🔊 Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation

git clone git@github.com:guyyariv/TempoTokens.git

🖥 Github: https://github.com/guyyariv/TempoTokens

📕 Paper: https://arxiv.org/abs/2309.16429v1

⭐️ Dataset: https://paperswithcode.com/dataset/audioset

https://news.1rj.ru/str/DataScienceT

✅️ T3Bench: Benchmarking Current Progress in Text-to-3D Generation

🖥 Github: https://github.com/THU-LYJ-Lab/T3Bench

📕 Paper: https://arxiv.org/abs/2310.02977v1

⭐️ Dataset: https://paperswithcode.com/dataset/nerf

https://news.1rj.ru/str/DataScienceT

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💻 Graph Structure Learning Benchmark (GSLB)

pip install GSLB

🖥 Github: https://github.com/gsl-benchmark/gslb

📕 Paper: https://arxiv.org/abs/2310.05163v1

⭐️ Paper collection: https://github.com/GSL-Benchmark/Awesome-Graph-Structure-Learning

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✅ Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models.

🖥 Github: https://github.com/Zeqiang-Lai/Mini-DALLE3

📕 Paper: https://arxiv.org/abs/2310.07653v1

⭐️ Dataset: https://paperswithcode.com/dataset/mmlu

Augment to Interpret

🖥 Github: https://github.com/euranova/augment_to_interpret

📕 Paper: https://arxiv.org/pdf/2309.16564v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/cora

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Incremental Transfer Learning (ITL) Survey

🖥 Github: https://github.com/yixinghuang/itlsurvey

📕 Paper: https://arxiv.org/pdf/2309.17192v1.pdf

🔥 Datasets: https://paperswithcode.com/dataset/tiny-imagenet

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🧠 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.

🖥 Github: https://github.com/opendilab/LightZero

📕 Paper: https://arxiv.org/abs/2310.08348v1

⭐️ Tasks: https://paperswithcode.com/task/atari-games

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🔥 Burn - A Flexible and Comprehensive Deep Learning Framework in Rust

cargo new new_burn_app

🖥 Github: https://github.com/burn-rs/burn

📕 Burn Book: https://burn-rs.github.io/book/

⭐️ Guide: https://www.kdnuggets.com/rust-burn-library-for-deep-learning

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