You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: labs/TSAIOV.md
-10Lines changed: 0 additions & 10 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -29,13 +29,3 @@ The following tools/website are solutions made by different companies to prevent
29
29
📒[MSTY](https://msty.app/) - Build LLM apps visually, kind of like Bubble for AI
30
30
31
31
📒[LMStudio](https://lmstudio.ai/) - Friendly for non-coders who still want power and insight
32
-
33
-
## Manual Solutions to AI (Low Level)
34
-
35
-
📒[PyTorch](https://pytorch.org) – A flexible deep learning framework that gives you direct access to tensors, autograd, and model building.
36
-
37
-
📒[TensorFlow](https://www.tensorflow.org) – Google’s framework for deep learning; lower-level than Keras if you work with the base API.
38
-
39
-
📒[JAX](https://github.com/google/jax) – Optimized for high-performance ML research. Great for gradient-based training and auto-differentiation.
40
-
41
-
📒[scikit-learn](https://scikit-learn.org) – Classic machine learning library (non-deep learning) with traditional models like SVMs, random forests, etc.
0 commit comments