Add question 238: SimCLR Contrastive Loss (NT-Xent)#578
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BARALLL wants to merge 1 commit intoOpen-Deep-ML:mainfrom
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Add question 238: SimCLR Contrastive Loss (NT-Xent)#578BARALLL wants to merge 1 commit intoOpen-Deep-ML:mainfrom
BARALLL wants to merge 1 commit intoOpen-Deep-ML:mainfrom
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moe18
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Mar 5, 2026
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looks good, had a few notes and I would limit the number of test cases to 10
| @@ -0,0 +1,5 @@ | |||
| { | |||
| "input": "# N=2 (Total batch 4).\n# 0 and 1 are views of Cat. 2 and 3 are views of Dog.\n# 0 matches 1 (Positive). 0 mismatches 2 and 3 (Negatives).\n\nz = np.array([\n [1.0, 0.0], # 0: Cat View A\n [1.0, 0.0], # 1: Cat View B (Perfect match with 0)\n [0.0, 1.0], # 2: Dog View A (Orthogonal to 0)\n [0.0, 1.0] # 3: Dog View B (Orthogonal to 0)\n])\ntemperature = 0.5", | |||
| "output": "2.2395447662218846", | |||
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this should be .2395 not 2.395
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| [ | |||
| { | |||
| "test": "print(nt_xent_loss([[1, 0], [1, 0], [0, 1], [0, 1]], 1.0))", | |||
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I would round these results in the test case
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