- [D] Experiences with wandb.ai http://wandb.ai/ 23 comments machinelearning
Linking pages
- Uncensored Models https://erichartford.com/uncensored-models 544 comments
- Generative AI’s Act Two | Sequoia Capital https://www.sequoiacap.com/article/generative-ai-act-two/ 106 comments
- GitHub - ripienaar/free-for-dev: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev https://github.com/ripienaar/free-for-dev 80 comments
- GitHub - louisfb01/start-machine-learning: A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques! https://github.com/louisfb01/start-machine-learning 46 comments
- Wall of Shame · SSOtax.org https://ssotax.org 24 comments
- GitHub - clementchadebec/benchmark_VAE: Unifying Generative Autoencoder implementations in Python https://github.com/clementchadebec/benchmark_VAE 20 comments
- GitHub - s-JoL/Open-Llama: The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF. https://github.com/s-JoL/Open-Llama 13 comments
- GitHub - louisfb01/best_AI_papers_2021: A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code. https://github.com/louisfb01/best_AI_papers_2021 9 comments
- GitHub - louisfb01/Best_AI_paper_2020: A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code https://github.com/louisfb01/Best_AI_paper_2020 9 comments
- GitHub - huggingface/parler-tts: Inference and training library for high-quality TTS models. https://github.com/huggingface/parler-tts 9 comments
- GitHub - louisfb01/best_AI_papers_2022: A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code. https://github.com/louisfb01/best_AI_papers_2022 8 comments
- I learned how to get around DALL-E Mini traffic so you don't have to. https://laulpogan.substack.com/p/i-learned-how-to-get-around-dall 4 comments
- GitHub - louisfb01/top-10-cv-papers-2021: A curated list of the top 10 computer vision papers in 2021 with video demos, articles, code and paper reference. https://github.com/louisfb01/top-10-cv-papers-2021 3 comments
- GitHub - fiquinho/actor_critic: My own implementation of different Actor-Critic algorithms https://github.com/fiquinho/actor_critic 3 comments
- GitHub - wandb/weave: Weave, developed by the team at Weights and Biases, is a new open-source toolkit designed for performant, interactive data exploration. Our mission is to equip Machine Learning practitioners with the best tools to turn data into insights quickly and easily. https://github.com/wandb/weave 3 comments
- GitHub - eloialonso/diamond: DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. https://github.com/eloialonso/diamond 3 comments
- GitHub - iusztinpaul/energy-forecasting: 🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | Learn MLE & MLOps for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴 https://github.com/iusztinpaul/energy-forecasting 2 comments
- How I got into deep learning - Vikas Paruchuri https://www.vikas.sh/post/how-i-got-into-deep-learning 2 comments
- How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets https://gretel.ai/blog/how-to-generate-synthetic-data-tools-and-techniques-to-create-interchangeable-datasets 1 comment
- GitHub - activeloopai/deeplake: Data Lake for Deep Learning. Multi-modal Vector Database for LLMs/LangChain. Store, query, version, & visualize datasets. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai https://github.com/snarkai/Hub 1 comment
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